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<head><title>BOXER and BOXER applications documentation - main page</title></head>
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<h1>BOXER and BOXER applications documentation - main page</h1>

<p>
This is the main page for the documentation distributed with the BOXER
project software.  Software produced by the project includes BOXER (a
Java library for online, anytime learning of polytomous logistic
regression models), as well as a number of applications using BOXER
and auxiliary tool.  BOXER applications - standalone Java programs
that runs machine learning experiments using BOXER - include BORJ
(Bayesian Online Regression in Java) and Repeater.
</p>

<h2>Getting started with BOXER and BORJ</h2>
<ul>
<li><a href="installation.html">Installation notes for the binary distribution</a>
<li><a href="install-from-source.html">Installation notes for the source distribution</a>
<li><a href="api/edu/dimacs/mms/borj/Driver.html">BORJ</a> - a basic BOXER application, and how to use it
<li><a href="api/edu/dimacs/mms/applications/learning/Repeater.html">Repeater</a> - a more advanced BOXER application
<li><a href="boxer-user-guide.html">BOXER User Guide</a>
</uL>


<h2>More documents</h2>
<ul>
<li><a href="standard-scenarios.html">Standard Discrimination Handling Scenarios</a> - more usage examples
<li><a href="tags.html">Overview of the XML elements used by BOXER</a>
<li><a href="nd.html">Treatment of new discrimination/class labels when parsing a data set</a>
</ul>

<h2>API</h2>
If you are going to use the BOXER API in your own applications, you will need this:
<ul>
<li><a href="api/index.html">The BOXER API documentation</a> 
</ul>

<h2>Other BOXER sites</h2>
<ul>
<li>The source code repository for the <a href="http://code.google.com/p/boxer-bayesian-regression/">Boxer-bayesian-regression</a> project on Google Code.
<li><a href="https://sakai.rutgers.edu/portal/site/c456b935-7e01-4a2b-8859-56ef0a1d4795">Rutgers Sakai Archive for the project</a> (access for project members only)
<li><a href="http://comminfo.rutgers.edu/~vmenkov/data/index.html">Reports on some computational experiments</a>
</ul>

<h2>Related non-BOXER packages</h2>
<ul>
<li><a href="http://www.bayesianregression.org/">Bayesian Logistic Regression (BBR, BMR, BXR)</a>
<!--
<li><a href="http://www.stat.rutgers.edu/~madigan/BBR/index.html">BBR: Bayesian Logistic Regression Software</a>
<li><a href="http://www.stat.rutgers.edu/~madigan/BMR/index.html">BMR: Bayesian Multinomial Regression Software</a>
-->
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